Rashmi Margani
About Rashmi Margani
Rashmi Margani is a Senior Machine Learning Engineer at Narvar, specializing in integrating analytical models into production environments. With a background in computer science and experience at companies like Cisco and VMware, she has implemented advanced machine learning techniques to enhance model accuracy.
Current Role at Narvar
Rashmi Margani holds the position of Senior Machine Learning Engineer at Narvar, where she has been employed since 2021. In this role, she works remotely and focuses on implementing advanced machine learning techniques. Her work includes the development of deep learning attention mechanisms tailored for tabular data, aimed at enhancing model accuracy. Rashmi specializes in integrating analytical models into production environments, collaborating closely with engineering teams to ensure effective deployment.
Previous Experience in Machine Learning
Prior to her current role, Rashmi Margani worked as a freelance Machine Learning Engineer from 2018 to 2021. During this three-year period, she operated remotely and engaged in various projects that involved developing and optimizing machine learning models. Before her freelance work, she was employed at Cisco as a Software Engineer in AI R&D from 2015 to 2018, where she developed and deployed machine learning models with a focus on high throughput and optimized code.
Education and Academic Background
Rashmi Margani earned her Bachelor of Engineering (BE) degree in Computer Science from PESIT. Her academic background provided her with a solid foundation in computer science principles, which she has applied throughout her career in machine learning and software engineering.
Contributions to Machine Learning Operations
Throughout her career, Rashmi has made significant contributions to machine learning operations. While at Cisco, she played a key role in automating these operations by effectively communicating insights and design changes to senior leadership. Additionally, she increased model accuracy by 20% through the generation and discovery of new features, demonstrating her ability to enhance model performance.
Research Experience at VMware
In 2014, Rashmi Margani worked as a researcher in the CCBD lab at VMware for four months. This role involved participation in a VMware R&D funding project, where she contributed to research efforts in machine learning. Her experience at VMware further solidified her expertise in the field and provided her with valuable insights into research and development processes.